4,791 research outputs found
A general purpose wideband optical spatial frequency spectrum analyzer
The light scattered at various angles by a transparent media is studied. An example of these applications is the optical Fourier spectrum measurement resulting from various spatial frequencies which were recorded on a photographic emulsion. A method for obtaining these measurements consists of illuminating the test object with parallel monochromatic light. A stationary lens, placed in the resulting wavefield at a distance of one focal length from the object, will focus parallel waves emanating from the test object at a point lying in the focal plane of the lens. A light detector with a small filtering aperture is then used to measure the intensity variation of the light in the focal or transform plane of the lens. Such measurements require the use of a lens which is highly corrected for all of the common aberrations except chromatic aberration
A microprocessor-based one dimensional optical data processor for spatial frequency analysis
A high degree of accuracy was obtained in measuring the spatial frequency spectrum of known samples using an optical data processor based on a microprocessor, which reliably collected intensity versus angle data. Stray light control, system alignment, and angle measurement problems were addressed and solved. The capabilities of the instrument were extended by the addition of appropriate optics to allow the use of different wavelengths of laser radiation and by increasing the travel limits of the rotating arm to + or - 160 degrees. The acquisition, storage, and plotting of data by the computer permits the researcher a free hand in data manipulation such as subtracting background scattering from a diffraction pattern. Tests conducted to verify the operation of the processor using a 25 mm diameter pinhole, a 39.37 line pairs per mm series of multiple slits, and a microscope slide coated with 1.091 mm diameter polystyrene latex spheres are described
Contract NAS 9-5829 (EASEP) Schedule II final report
The information presented herein is compiled and summarized primarily from data presented in monthly progress reports issued during the EASEP program. The period covered by this final report runs from 1 October 1968 through 15 June 1969.S/ A 65S to NAS 9-582
Climate Change and Federal Crop Insurance
The federal crop insurance program is well-positioned today to promote resilient agricultural practices that mitigate the future impact of climate change. In light of climate change risk, this Article examines issues relating to climate change and the federal crop insurance program. Part I of this Article examines the present risk of climate change in agriculture and discusses recent steps taken to address climate change in agriculture in general, specifically within the federal crop insurance program. As a condition to federal crop insurance coverage, a farmer-insured must utilize “good farming practices” to obtain coverage for covered causes of loss. Part II examines the role of “good farming practices” determinations and its effects on climate change. This Article addresses three cases decided within the past five years and contends that the increasing number of cases in the federal courts indicate that an amendment to the “good farming practices” standard may have a significant effect in promoting climate change mitigation. This Article concludes by proposing an amendment to the “good farming practices” standard. The proposed standard dictates that if a farmer utilizes “sustainable, resilient and soil-building agricultural practices,” then such utilization must be weighed as a substantial factor in support of a “good farming practices” determination by the Risk Management Agency
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The relationship between the Last Planner® System and collaborative planning practice in UK construction
Purpose – The purpose of this study is to identify how the newly emerging UK practice of "Collaborative Planning" (CP) for construction project delivery aligns with the advocated principles of the Last Planner System (LPS) of production planning and control. Design/methodology/approach – A mixed, qualitative, exploratory approach was adopted for the study. This entailed qualitative data through three techniques namely: semi-structured interviews, documents analysis, and structured observation. Thirty in-depth-interviews were conducted over a 12 month period with lean construction consultants, clients, main contractors, and subcontractors drawn from the building, highways and infrastructure and rail sector. Fifteen projects were visited where practices were observed. Findings – The study reveals that the current practice of CP in the UK partially aligns with the LPS principles. Where practitioners have heard of the LPS they believe it to be the same practice as CP. Limitation: This study is limited to 30 interviews, observation of 15 projects and document analysis. The aim of the study is not to generalise the findings, however, since the study examined top construction companies and practitioners in the UK and the findings were consistent across the sample, some conclusions could be made. The study is also limited to examining the construction phase only, future studies should incorporate the design phase. Practical Implication - A clear identification of the elements of current practice compared to the components of the LPS provides a contribution to the future practice of project production planning and management in the construction industry. Social implication – The study highlights a continuing resistance to collaboration within the industry. This resistance is subtly embedded within implemented practices even though they are based on collaborative working for their success. Originality and Value – This is among the first studies in the UK that comprehensively examines and reports the application of Last Planner System/Collaborative Planning practice in construction across the major construction sectors. Future studies could build on the findings from this work to develop an approach/methodology to improve the current practice
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